You can download all data and code for all sections at once.
All Code and Data (1.0 GB)
You can download data and code for all individual sections of the Udemy course.
Section 1: Introduction
Lecture Title | Filename |
---|---|
Teaser | Lab |
Section 2: R Refresher
Lecture Title | Filename |
---|---|
Rmarkdown | Lab |
Data Manipulation | Lab |
Data Reshaping | Lab |
Package Preparation | Lab |
Section 3: Regression
Lecture Title | Filename |
---|---|
Univariate Regression | Lab |
Exercise/Solution | |
Polynomial Regression | Lab |
Multivariate Regression | Lab |
Exercise / Solution |
Section 5: Model Preparation and Evaluation
Lecture Title | Filename |
---|---|
Train/Validation/Test Split | Lab |
Resampling Techniques | Lab |
Section 6: Regularization
Lecture Title | Filename |
---|---|
Regularization | Lab |
Section 8: Classification
Lecture Title | Filename |
---|---|
ROC Curve | 101 Slides
Lab |
Section 9: Decision Trees
Lecture Title | Filename |
---|---|
Decision Trees | Lab |
Exercise/Solution |
Section 10: Random Forests
Lecture Title | Filename |
---|---|
Random Forests | Lab |
Exercise/Solution |
Section 11: Logistic Regression
Lecture Title | Filename |
---|---|
Logistic Regression | Lab |
Exercise/Solution |
Section 12: Support Vector Machines
Lecture Title | Filename |
---|---|
Support Vector Machines | Lab |
Exercise/Solution |
Section 13: Ensemble Models
Lecture Title | Filename |
---|---|
Ensemble Models | Lab |
Section 15: Apriori
Lecture Title | Filename |
---|---|
Apriori | Lab |
Exercise/Solution |
Section 17: kmeans
Lecture Title | Filename |
---|---|
kmeans | Lab |
Exercise/Solution |
Section 18: Hierarchical Clustering
Lecture Title | Filename |
---|---|
Hierarchical Clustering | Lab |
Section 19: Dbscan
Lecture Title | Filename |
---|---|
dbscan | Lab |
Section 21: Principal Component Analysis
Lecture Title | Filename |
---|---|
PCA | Lab |
Exercise/Solution |
Section 22: t-SNE
Lecture Title | Filename |
---|---|
t-SNE | Lab |
Section 23: Factor Analysis
Lecture Title | Filename |
---|---|
Factor Analysis | Lab |
Exercise/Solution |
Section 24: Upper Confidence Bound
Lecture Title | Filename |
---|---|
UCB | Lab |
Section 25: Deep Learning Introduction
Section 26: Deep Learning Regression
Lecture Title | Filename |
---|---|
Multi-Target Regression | Lab |
Section 27: Deep Learning Classification
Lecture Title | Filename |
---|---|
Binary Classification | Lab |
Multi-Label Classification | Lab (638 MB) |
Section 28: Convolutional Neural Networks
Lecture Title | Filename |
---|---|
CNN for Classification | Lab (140 MB) |
Exercise/Solution (196 MB) | |
Semantic Segmentation | Lab(400 MB) |
Section 29: Autoencoders
Lecture Title | Filename |
---|---|
Autoencoders | Lab |
Section 30: Pretrained Models and Transfer Learning
Lecture Title | Filename |
---|---|
Pretrained Models | Lab |
Section 31: Recurrent Neural Networks
Lecture Title | Filename |
---|---|
RNN, especially LSTM | Lab/Exercise/Solution |
Section 32: Bonus
Lecture Title | Filename |
---|---|
Model Interpretation | Lab |